import pandas as pd

from statsmodels.tsa.seasonal import seasonal_decompose

import matplotlib.pyplot as plt

 

data = pd.read_csv('/datasets/energy_consumption.csv', index_col=[0], parse_dates=[0])

data.sort_index(inplace=True)

data = data['2018-01':'2018-06'].resample('1D').sum()

 

decomposed = seasonal_decompose(data['2018-01-01':'2018-01-15'])

decomposed.seasonal.plot()